{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# 3D scatterplot\n\nDemonstration of a basic scatterplot in 3D.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\n# Fixing random state for reproducibility\nnp.random.seed(19680801)\n\n\ndef randrange(n, vmin, vmax):\n    \"\"\"\n    Helper function to make an array of random numbers having shape (n, )\n    with each number distributed Uniform(vmin, vmax).\n    \"\"\"\n    return (vmax - vmin)*np.random.rand(n) + vmin\n\nfig = plt.figure()\nax = fig.add_subplot(projection='3d')\n\nn = 100\n\n# For each set of style and range settings, plot n random points in the box\n# defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh].\nfor m, zlow, zhigh in [('o', -50, -25), ('^', -30, -5)]:\n    xs = randrange(n, 23, 32)\n    ys = randrange(n, 0, 100)\n    zs = randrange(n, zlow, zhigh)\n    ax.scatter(xs, ys, zs, marker=m)\n\nax.set_xlabel('X Label')\nax.set_ylabel('Y Label')\nax.set_zlabel('Z Label')\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. tags::\n   plot-type: 3D, plot-type: scatter,\n   level: beginner\n\n"
      ]
    }
  ],
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